Technical Lead - Data Engineer Wipro Limited

  • company name Wipro Limited
  • working location Office Location
  • job type Full Time

Experience: 5 - 5 years required

Pay:

Salary Information not included

Type: Full Time

Location: Gujarat

Skills: SQL, sqoop, Hadoop, Microsoft Excel, Python, Scala, Java, TSQL, PLSQL, Git, Jenkins, AutoSys, oozie, azure data factory, Azure Data bricks Spark, pyspark, Azure Data Engineer, Data Ingestion, Curation, Semantic Modelling, Optimization of data model

About Wipro Limited

Job Description

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Job Description Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Key skills Azure Data Factory (primary) , Azure Data bricks Spark (PySpark, SQL) Must-have skills Cloud certified in one of these categories Azure Data Engineer Azure Data Factory , Azure Data bricks Spark (PySpark or scala), SQL, DATA Ingestion, Curation . Semantic Modelling/ Optimization of data model to work within Rahona Experience in Azure ingestion from on-prem source, e.g. mainframe, SQL server, Oracle. Experience in Sqoop / Hadoop Microsoft Excel (for metadata files with requirements for ingestion) Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in cloud Strong Programming skills with at least one of Python, Scala or Java Strong SQL skills ( T-SQL or PL-SQL) Data files movement via mailbox Source-code versioning/promotion tools, e.g. Git/Jenkins Orchestration tools, e.g. Autosys, Oozie Source-code versioning with Git. Nice-to-have skills Experience working with mainframe files Experience in Agile environment, JIRA/Confluence tool Deliver No Performance Parameter Measure 1 Process No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT 2 Team Management Productivity, efficiency, absenteeism 3 Capability development Triages completed, Technical Test performance Mandatory Skills: DataBricks - Data Engineering . Experience: 5-8 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.,